I received my Ph.D. degree at Robotics, Embodied AI, and Navigation In-vivo Lab, Department of Electronic Engineering, The Chinese University of Hong Kong, supervised by Prof. Hongliang Ren and Prof. Jiewen Lai. Prior to my doctoral studies, I worked as an Embedded Software Engineer working in the automotive industry at Continental Automotive in Singapore. Before that, I conducted research in Prof. Chengkuo Lee’s lab at the Department of Electrical and Computer Engineering, National University of Singapore and received my M.Sc. degree in 2019. I completed my undergraduate studies in Information Engineering at Soochow University from 2014 to 2018.

My research emphasizes efficient & robust medical image analysis and intelligent robotic surgery. I am recently working on Vision Foundation Models, Multi-modal LLM, and World Models.

🔥 News

  • 2026.08: Successfully passed my Ph.D. Thesis Defense and became a Dr. now!
  • 2026.08: One paper on tissue point tracking in surgical videos is accepted by IEEE Transactions on Medical Imaging. (IF: 12.4).
  • 2026.02: One paper on Vascular Motion Magnification in endoscopic videos is accepted by Advanced Engineering Informatics (IF: 11.5).
  • 2025.11: One paper on multimodal (vision-language) surgical tissue&instrument point tracking is accepted at AAAI2026 (Oral).
  • 2025.06: One paper on semi-supervised polyp segmentation is accepted by Computerized Medical Imaging and Graphics (CMIG, IF: 5.5).
  • 2025.03: Two papers on ESD Dissection Trajectory Prediction and Dissection Zone Segmentation are accepted at ICRA 2025 and IPCAI 2025, respectively.
  • 2024.10: Two papers on vision-guided robotic surgery have been accepted at IEEE ROBIO 2024.
  • 2024.08: One paper “Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data” has been accepted at the Simulation and Synthesis in Medical Imaging (SASHIMI) workshop at MICCAI 2024.
  • 2023.08: Our paper “SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation” has been accepted as an Oral Presentation at the MedAGI workshop, MICCAI 2023.
  • 2023.06: Our paper “Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many Synthesis” is accepted by IROS-2023.
  • 2023.06: One paper about robust medical image segmentation is accepted by IEEE Transactions on Automation Science and Engineering (T-ASE, 7.9).
  • 2023.05: One paper about annotation-efficient polyp segmentation was early accepted by MICCAI-2023.
  • 2022.06: One paper about synthetic data generation from limited sources is accepted by MICCAI-2022.

Scroll for earlier updates.

💼 Internship Experience

XGEN Labs

World Model Algorithm Intern · May 2026 - Nov 2026

Contributed to:


Centre for Artificial Intelligence and Robotics (CAIR)

Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences

Foundation Model Algorithm Intern · Nov 2025 - Feb 2026

Research output: SurgMotion: A Video-Native Foundation Model for Universal Understanding of Surgical Videos.

📝 Publications

*: First author; **: Corresponding author

Full list.

Conference Papers

AAAI-2026
sym

Bridging Vision and Language for Robust Context-Aware Surgical Point Tracking: The VL-SurgPT Dataset and Benchmark

Rulin Zhou*, Wenlong He*, An Wang*, Jianhang Zhang, Xuanhui Zeng, Xi Zhang, Chaowei Zhu, Haijun Hu**, Hongliang Ren**

The Fortieth AAAI Conference on Artificial Intelligence (AAAI-26) (Oral)

arxiv | Project

MICCAI EMA-2025
Qualitative surgical instrument segmentation results using SAM 2

SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation

Jieming Yu, An Wang, Wenzhen Dong, Mengya Xu, Mobarakol Islam, Jie Wang, Long Bai, Hongliang Ren

MICCAI 2025 Efficient Medical AI (EMA) Workshop

arxiv

MICCAI SASHIMI-2024
Effect of image corruptions on endoscopic depth estimation

Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data

An Wang*, Haochen Yin, Beilei Cui, Mengya Xu, and Hongliang Ren**

MICCAI 2024 Simulation and Synthesis in Medical Imaging (SASHIMI) Workshop

arxiv | Springer | code

ROBIO-2024
Overall mechanism of the web-based augmented reality application with auto-scaling and head tracking

Web-based Augmented Reality with Auto-Scaling and Real-Time Head Tracking towards Markerless Neurointerventional Preoperative Planning and Training of Head-mounted Robotic Needle Insertion

Hon Lung Ho*, Yupeng Wang*, An Wang*, Long Bai, and Hongliang Ren**

IEEE ROBIO 2024

arxiv | website | code | demo

MICCAI-2023
sym

S$^2$ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation

An Wang*, Mengya Xu, Yang Zhang, Mobarakol Islam, and Hongliang Ren**

MICCAI-2023 Early Accepted (Top 14% among 2253 submissions).

arXiv | code | poster | video | ppt

IROS-2023
sym

Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many Synthesis

An Wang*, Mobarakol Islam*, Mengya Xu, and Hongliang Ren**

IROS-2023

arXiv | code | poster | video | ppt

MICCAI-2022
sym

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

An Wang*, Mobarakol Islam*, Mengya Xu, and Hongliang Ren**

MICCAI-2022

arXiv | Springer | code | ppt | poster | video

MedAGI Workshop
sym

SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation

An Wang*, Mobarakol Islam*, Mengya Xu, Yang Zhang, and Hongliang Ren**

Oral, MICCAI 2023 1st International Workshop on Foundation Models for General Medical AI.

arXiv | poster | ppt

Journal Papers

AdvEI
sym

EndoControlMag: Robust Endoscopic Vascular Motion Magnification with Periodic Reference Resetting and Hierarchical Tissue-aware Dual-Mask Control

An Wang*, Rulin Zhou*, Mengya Xu*, Yiru Ye, Longfei Gou, Yiting Chang, Hao Chen, Chwee Ming Lim, Jiankun Wang, Hongliang Ren**

Advanced Engineering Informatics (AdvEI) 2026

Paper | Project

IEEE TMI-2026
Endo-TTAP framework with hybrid supervision, multi-facet guided attention, and pseudo-label generation

Endo-TTAP: Robust Endoscopic Tissue Tracking via Multi-Facet Guided Attention and Hybrid Flow-point Supervision

Rulin Zhou*, Wenlong He*, An Wang*, Qiqi Yao, Haijun Hu, Jiankun Wang, Xi Zhang, and Hongliang Ren**

IEEE Transactions on Medical Imaging IEEE TMI 2026 | Project

CMIG
sym

PedSemiSeg: Pedagogy-inspired semi-supervised polyp segmentation

An Wang, Haoyu Ma, Long Bai, Yanan Wu, Mengya Xu, Yang Zhang, Mobarakol Islam, Hongliang Ren**

Computerized Medical Imaging and Graphics (CMIG) 2025

Paper | code

IEEE T-ASE
sym

Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation

An Wang*, Mobarakol Islam*, Mengya Xu*, and Hongliang Ren**

IEEE Transactions on Automation Science and Engineering (T-ASE) 2023

arXiv | IEEE | code

Information Fusion
Surgical-VQLA++ framework for calibrated vision-language fusion and adversarial contrastive learning

Surgical-VQLA++: Adversarial contrastive learning for calibrated robust visual question-localized answering in robotic surgery

Long Bai, Guankun Wang, Mobarakol Islam, Lalithkumar Seenivasan, An Wang, Hongliang Ren

Information Fusion, 2024 paper | code

Preprints

Under Review
Dual Exam framework showing four evaluation domains and controlled evaluation of multimodal agents and world models

Dual Exam: Controlled Evaluation of Multimodal Agents and World Models

XGEN Team

ICLR 2027 — Under Review

arXiv | PDF | Project

Technical Report
DAO and JING overview: shared world state and interactive first-person audiovisual generation

Generative World Simulation with DAO and JING

XGEN Team

Technical Report, 2026

arXiv | PDF | Project

Preprint
SurgMotion overview showing the surgical video dataset, video-native pretraining, and downstream tasks

SurgMotion: A Video-Native Foundation Model for Universal Understanding of Surgical Videos

Jinlin Wu, Felix Holm, Chuxi Chen, An Wang, Yaxin Hu, Xiaofan Ye, Zelin Zang, Miao Xu, Lihua Zhou, Huarui Wu, Huai Liao, Danny T. M. Chan, Ming Feng, Wai S. Poon, Hongliang Ren, Dong Yi, Nassir Navab, Gaofeng Meng, Jiebo Luo, Hongbin Liu, Zhen Lei

Preprint, 2026

arXiv | PDF | Project

Preprint
BleedOrigin dual-stage framework for bleeding onset detection and source tracking

BleedOrigin: Dynamic Bleeding Source Localization in Endoscopic Submucosal Dissection via Dual-Stage Detection and Tracking

Mengya Xu*, Rulin Zhou*, An Wang*, Chaoyang Lyu, Zhen Li, Ning Zhong, Hongliang Ren

arxiv | Project

Book Chapter

3D Reconstruction of Deformable Tissues in Robotic Surgery

Mengya Xu, Tiebing Tang, Ziqi Guo, An Wang, Beilei Cui, Long Bai, Hongliang Ren

Handbook of Robotic Surgery, 2024

🎖 Honors and Awards

  • 2024.09, SUSTech Fellowship
  • 2018.06, Excellent Graduate of Soochow University

📖 Educations

  • 2021.10 - 2026.08, Ph.D. Candidate, Electronic Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
  • 2018.08 - 2019.06, M.Sc., Electrical Engineering, National University of Singapore, Singapore
  • 2014.09 - 2018.06, B.Eng., Information Engineering, Soochow University, Suzhou, China

💻 Teaching Assistant

  • Embedded Systems Design, 2024.09 - 2024.12
  • Intelligent Interactive Robot Practice, 2024.01 - 2024.05
  • Intelligent Wearable Electronics, 2023.01 - 2023.05
  • Probability for Engineers, 2021.09 - 2021.12, 2022.09 - 2022.12, 2023.09 - 2023.12
  • Robotic Perception and Intelligence, 2022.01 - 2022.05